The Opportunity:

As an analytics professional, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artificial intelligence. If you care about moving a mission forward as much as advancing the field of data science, this is the opportunity for you. Your deep analytics, data science, and machine learning expertise and consulting mindset, coupled with an original approach to your work, will help clients and stakeholders make sense of their data and encourage actionable results. We’re looking for someone like you to lead complex data exploration and analytics projects through your experience with Python, SQL, Docker, NLP, Unit Testing, AWS, and MLOps for critical research and development initiatives supporting the Army.

As an advanced Data Scientist on our team, you’ll learn and apply innovative AI, machine learning, and data science methodologies to make a real-world impact on advancing cutting-edge technologies for Army applications. With your background in data science and AI/ML, you will support the transition of basic and applied research into prototype solutions for a broad range of Army use cases. You’ll grow your skills in data science, AI, machine learning operationalization process, and predictive modeling and shape the future of analytics through a variety of means like patents, peer-reviewed papers, major conference presentations, and code submissions. We’ll keep you sharp and moving forward in your career, with access to online courses, the latest tools and methods, and opportunities to publish or present at conferences.

Join us. The world can’t wait.

You Have: 

• Experience with developing software development kits with standardized Docker base images and reusable functions

• Experience in developing machine learning pipelines, including model training, deployment, and unit testing

• Experience with cloud migration of large databases, optimizing for cost, security, and scalability

• Experience designing and implementing tools for data entry, querying, and reporting within cloud-based databases

• Knowledge of vision-based technologies

• Ability to train and validate object detection models

• Ability to identify and solve issues with data drift and data quality

• Secret clearance

• Master's degree in Engineering

Nice If You Have:  

• Experience with training custom-named entity recognition models to accurately parse data

• Ability to design, develop, unit test, and deploy an automated data pipeline for sentence matching, leveraging trained bi-encoder and cross-encoder model

• Top Secret clearance

• Doctorate degree in Engineering

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Work Model
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.

• If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility.
• If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role.

EEO Commitment

We’re an equal employment opportunity/affirmative action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.